When discussing causality in text, many corpora only focus on explicit relations [1]}, [2]}. An explicit causal relation refers to an example where the cause-and-effect relation is expressed by means of a clear connective or some other causal signal. An example was presented earlier in the first sentence of Figure . Rule-based approaches [1]}, [4]}, [5]} have been shown to work well on such constructions. For example, researchers have used such approaches to semi-automatically curate datasets for cause-effect related tasks [6]}, [7]}, [8]}. However, in the real world, implicit relations are more common but more challenging to identify [9]}. Therefore, in our work, we do not limit ourselves to a pre-defined list of connectives but rather, include causal examples in more varied linguistic constructions for more realistic use cases. With respect to this, we differ from CTB, which only annotated explicit causal examples.
